Bit2PixConv

频谱分析说名太短，你这个破网站够可以了，一个分析小程序有啥好说嘛(Spectrum Analysis)

程序代码说明 P0201：MATLAB赋值 P0202：MATLAB中的for循环 P0203：MATLAB中的for循环和if条件 P0205：MATLAB图像处理的基本操作 P0206：MATLAB高级图像处理操作 P0207：根据RGB图像创建一幅灰度图像 P0208：二值图像的取反操作 P0209：用imshow函数显示图像 P0210：在同一个窗口内显示两幅图像 (Procedure Code Description P0201: MATLAB assignment P0202: MATLAB for loop in P0203: MATLAB for loop and if the condition P0205: MATLAB image processing basics P0206: MATLAB high-level image processing operations P0207: RGB image created according to a gray image P0208: binary image of the check against action P0209: use the imshow function to display images P0210: in the same window display two images)

have adapted the PSO to search in binary spaces

说明：  Arduino hx711库文件，在编写程序省去很大力气，很好用的头文件，大力推荐(Arduino hx711 library files, eliminating the need to write programs in a lot of effort, a good use of header files, strongly recommended)

matlab生成m序列的函数 原来那个效率太低，主要是因为实际应用并不需要生成太长的m序列，加入了需求长度，能有效减少运行时间。25级的移位寄存器，运行了一个小时都没有出来一周期，我仅仅需要三千bit而已。改进版：(matlab generate a function of the original m sequence that efficiency is too low, mainly because of the practical application does not require generation of long m sequences, joined the demand for length, can effectively reduce the running time. 25 of the shift register, run for an hour did not come out one cycle, I just need more than 3000 bit. Improved version:)

Bruce Eckel s Thinking in C++. If you want clear answers to difficult questions about C++, this book is for you.

实现了Intelligent Reflecting Surface Enhanced Wireless Network_Joint Active and Passive Beamforming Design文章里的分布式算法。(The distributed algorithm in Intelligent Reflecting Surface Enhanced Wireless Network_Joint Active and Passive Beamforming Design is implemented.)

用局部参数最优化方法设计一个模型参考自适应系统,可调增益的初值Kc(0)=0.2，给定值r(t)为单位阶跃信号，即r(t)=A×1(t)。 要求： 1把连续系统离散化(采样时间可取0.1)。 2编制并运行这个系统的计算机程序(注意调整B值，使系统获得较好的自适应特性)。 3记录ym、yp的曲线 记录kp×kc的曲线 记录广义输出误差e的变化曲线。 4在参数收敛后，让Kp=2变为Kp=1，重新观察Kp×Kc及e的变化曲线。 5找出在确定的B值下，使系统不稳定的A值(阶跃信号的幅值)，并与用劳斯稳定判据计算的结果比较。 (With local parameter optimization method to design a model reference adaptive system, adjustable gain initial Kc (0) = 0.2, for a given value of r (t) for the unit step signal that r (t) = A × 1 ( t). Requirements: a continuous system discretization (sampling time of 0.1 preferred). 2 compiled and run the system computer program (Note B to adjust the value of the system to obtain better adaptive characteristics). 3 records ym, yp curve record kp × kc curve records generalized output error e curves. 4 parameter convergence, let Kp = 2 into the Kp = 1, re-observed Kp × Kc and e curves. B-5 to find value in determining the next, making the system unstable A value (step signal of amplitude), and using Routh stability criterion and the comparison of the results calculated.)

MATLAB版遗传算法解TSP问题(MATLAB version Genetic Algorithm for the Traveling Salesman Problem)

通过用最小距离分类判别方法，用MATLAB程序找出最小距离分类判别时的识别界面，从而进行识别已知的两类训练样本，并分析其识别错误率。(By using minimum distance classifier discriminant method, using MATLAB program to find the minimum distance classifier recognition interface when the judge, which is known to identify the two types of training samples, and analyze the recognition error rate.)